ICCV2019oral.pdf

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Tuesday, October 29, 2019, 1330–1530 Oral 1.2A (Hall D1) Judy Hoffman (Facebook AI Research; Georgia Tech), Min Sun Session Title/Poster Group Architectures, Multi-Task 13:30 Exploring Randomly Wired Neural Networks for Image Recognition Poste r # Presentatio n Time 1 Title Author(s) Saining Xie, Alexander Kirillov, Ross Girshick, Kaiming He Xin Chen, Lingxi Xie, Jun Wu, Qi Tian Xiawu Zheng, Rongrong Ji, Lang Tang, Baochang Zhang, Jianzhuang Liu, Qi Tian Andrew Howard, Mark Sandler, Grace Chu, Liang- Chieh Chen, Bo Chen, Mingxing Tan, Weijun Wang, Yukun Zhu, Ruoming Pang, Vijay Vasudevan, Quoc Markus Nagel, Mart van Baalen, Tijmen Blankevoort, Max Welling Laurie Bose, Jianing Chen, Stephen J. Carey, Piotr Dudek, Walterio Mayol-Cuevas Xiao Jin, Baoyun Peng, Yichao Wu, Yu Liu, Jiaheng Liu, Ding Liang, Junjie Yan, Xiaolin Hu Mary Phuong, Christoph H. Lampert Frederick Tung, Greg Mori Gjorgji Strezoski, Nanne van Noord, Marcel Worring Felix J.S. Bragman, Ryutaro Tanno, Sebastien Ourselin, Daniel C. Alexander, Jorge Cardoso Anh T. Tran, Cuong V. Nguyen, Tal Hassner Xingchao Peng, Qinxun Bai, Xide Xia, Zijun Huang, Kate Saenko, Bo Wang Safa Cicek, Stefano Soatto Ruijia Xu, Guanbin Li, Jihan Yang, Liang Lin Jogendra Nath Kundu, Nishank Lakkakula, R. Venkatesh Babu Da Li, Jianshu Zhang, Yongxin Yang, Cong Liu, Yi- Zhe Song, Timothy M. Hospedales Yi-Hsuan Tsai, Kihyuk Sohn, Samuel Schulter, Manmohan Chandraker Qin Wang, Wen Li, Luc Van Gool 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 13:35 Progressive Differentiable Architecture Search: Bridging the Depth Gap Between Search and 13:40 Multinomial Distribution Learning for Effective Neural Architecture Search 13:48 Searching for MobileNetV3 13:53 Data-Free Quantization Through Weight Equalization and Bias Correction 13:58 A Camera That CNNs: Towards Embedded Neural Networks on Pixel Processor Arrays 14:06 Knowledge Distillation via Route Constrained Optimization 14:11 Distillation-Based Training for Multi-Exit 14:16 Similarity-Preserving Knowledge Distillation 14:24 Many Task Learning With Task Routing 14:29 Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution 14:34 Transferability and Hardness of Supervised 14:42 Moment Matching for Multi-Source Domain Adaptation 14:47 Unsupervised Domain Adaptation via 14:52 Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised 15:00 UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task Distillation 15:05 Episodic Training for Domain Generalization 15:10 Domain Adaptation for Structured Output via Discriminative Patch Representations 15:18 Semi-Supervised Learning by Augmented Pape r ID 634 2397 1865 5162 6174 5201 1252 3548 5161 1330 3436 6640 4125 4113 959 2419 1488 609 3523

15:23 S4L: Self-Supervised Semi-Supervised 4757 Tuesday, October 29, 2019, 1330–1530 Oral 1.2B (Hall D2) Ko Nishino (Kyoto Univ.), Yong Jae Lee (Univ. of California, Davis) Session Pape r ID Title/Poster Group Multi-View 3611 Geometry, 3D 13:30 Privacy Preserving Image Queries for Camera Xiaohua Zhai, Avital Oliver, Alexander Kolesnikov, Pablo Speciale, Johannes L. Schönberger, Sudipta N. Sinha, Marc Pollefeys Songyou Peng, Peter Sturm Poste r # Presentatio n Time Localization Author(s) Title 3435 2437 2303 4168 4865 3379 3476 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 13:35 Calibration Wizard: A Guidance System for Camera Calibration Based on Modelling 13:40 Gated2Depth: Real-Time Dense Lidar From 13:48 X-Section: Cross-Section Prediction for 13:53 Learning an Event Sequence Embedding for Dense Event-Based Deep Stereo 13:58 Point-Based Multi-View Stereo Network 14:06 Discrete Laplace Operator Estimation for 14:11 Deep Non-Rigid Structure From Motion 14:16 Equivariant Multi-View Networks 14:24 Interpolated Convolutional Networks for 3D 14:29 Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model 14:34 PointCloud Saliency Maps 14:42 ShellNet: Efficient Point Cloud Convolutional Neural Networks Using Concentric Shells Tobias Gruber, Frank Julca-Aguilar, Mario Bijelic, Felix 3718 Andrea Nicastro, Ronald Clark, Stefan Leutenegger 3933 4599 Stepan Tulyakov, Francois Fleuret, Martin Kiefel, Peter Gehler, Michael Hirsch Rui Chen, Songfang Han, Jing Xu, Hao Su Xiangyu Xu, Enrique Dunn Chen Kong, Simon Lucey Carlos Esteves, Yinshuang Xu, Christine Allen- Blanchette, Kostas Daniilidis Jiageng Mao, Xiaogang Wang, Hongsheng Li Mikaela Angelina Uy, Quang-Hieu Pham, Binh-Son Hua, Thanh Nguyen, Sai-Kit Yeung Tianhang Zheng, Changyou Chen, Junsong Yuan, Bo Zhiyuan Zhang, Binh-Son Hua, Sai-Kit Yeung 3151 981 3127 5370 2615 2353 2290 582 14:47 Unsupervised Deep Learning for Structured 14:52 Linearly Converging Quasi Branch and Bound Jean-Michel Roufosse, Abhishek Sharma, Maks Nadav Dym, Shahar Ziv Kovalsky Algorithms for Global Rigid Registration 15:00 Consensus Maximization Tree Search Revisited Zhipeng Cai, Tat-Jun Chin, Vladlen Koltun 15:05 Quasi-Globally Optimal and Efficient Vanishing Point Estimation in Manhattan World 15:10 An Efficient Solution to the Homography-Based Relative Pose Problem With a Common 15:18 A Quaternion-Based Certifiably Optimal Solution to the Wahba Problem With Outliers Haoang Li, Ji Zhao, Jean-Charles Bazin, Wen Chen, Zhe Liu, Yun-Hui Liu Yaqing Ding, Jian Yang, Jean Ponce, Hui Kong Heng Yang, Luca Carlone 15:23 PLMP - Point-Line Minimal Problems in Timothy Duff, Kathlén Kohn, Anton Leykin, Tomas 5582 Wednesday, October 30, 2019, 0900–1030 Oral 2.1A (Hall D1) Ming-Ming Cheng (Nankai Univ.), Camille Couprie (Facebook)

Session Title/Poster Group Feature Representations, Similarity Learning Pape r ID 1774 1 2 3 4 5 6 7 8 9 Poste r # Presentatio n Time Title Author(s) 9:00 Sampling-Free Epistemic Uncertainty Estimation Using Approximated Variance Propagation Janis Postels, Francesco Ferroni, Huseyin Coskun, Nassir Navab, Federico Tombari 9:05 Universal Adversarial Perturbation via Prior Driven Uncertainty Approximation Hong Liu, Rongrong Ji, Jie Li, Baochang Zhang, Yue Gao, Yongjian Wu, Feiyue Huang 2912 9:10 Understanding Deep Networks via Extremal Ruth Fong, Mandela Patrick, Andrea Vedaldi 3949 Perturbations and Smooth Masks 9:18 Unsupervised Pre-Training of Image Features on Non-Curated Data Mathilde Caron, Piotr Bojanowski, Julien Mairal, Armand Joulin 3438 9:23 Learning Local Descriptors With a CDF-Based Linguang Zhang, Szymon Rusinkiewicz 791 Dynamic Soft Margin 9:28 Bayes-Factor-VAE: Hierarchical Bayesian Deep Auto-Encoder Models for Factor Disentanglement Minyoung Kim, Yuting Wang, Pritish Sahu, Vladimir Pavlovic 4549 9:36 Linearized Multi-Sampling for Differentiable Image Transformation Wei Jiang, Weiwei Sun, Andrea Tagliasacchi, Eduard Trulls, Kwang Moo Yi 811 9:41 AdaTransform: Adaptive Data Transformation Zhiqiang Tang, Xi Peng, Tingfeng Li, Yizhe Zhu, Dimitris N. Metaxas 9:46 CARAFE: Content-Aware ReAssembly of FEatures Jiaqi Wang, Kai Chen, Rui Xu, Ziwei Liu, Chen Change Loy, Dahua Lin 715 2495

10 9:54 AFD-Net: Aggregated Feature Difference Learning for Cross-Spectral Image Patch Matching Dou Quan, Xuefeng Liang, Shuang Wang, Shaowei Wei, Yanfeng Li, Ning Huyan, Licheng Jiao 4249 11 9:59 Deep Joint-Semantics Reconstructing Hashing Shupeng Su, Zhisheng Zhong, Chao Zhang 1426 for Large-Scale Unsupervised Cross-Modal Retrieval 12 10:04 Unsupervised Neural Quantization for Stanislav Morozov, Artem Babenko 3300 Compressed-Domain Similarity Search 13 14 10:12 Siamese Networks: The Tale of Two Manifolds Soumava Kumar Roy, Mehrtash Harandi, Richard 4856 Nock, Richard Hartley 10:17 Learning Combinatorial Embedding Networks Runzhong Wang, Junchi Yan, Xiaokang Yang 41 for Deep Graph Matching 15 10:22 Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid Zhanghui Kuang, Yiming Gao, Guanbin Li, Ping Luo, Yimin Chen, Liang Lin, Wayne Zhang 2037 Wednesday, October 30, 2019, 0900–1030 Oral 2.1B (Hall D2) Hiroshi Ishikawa (Waseda Univ.), Jinwei Gu (SenseTime) Session Title/Poster Group Low Level Vision Xin Deng, Ren Yang, Mai Xu, Pier Luigi Dragotti Author(s) 16 Poste r # Presentatio n Time Title 9:00 Wavelet Domain Style Transfer for an Effective Perception-Distortion Tradeoff in Single Image Super-Resolution Pape r ID 6221

17 9:05 Toward Real-World Single Image Super- Resolution: A New Benchmark and a New Model Jianrui Cai, Hui Zeng, Hongwei Yong, Zisheng Cao, Lei Zhang 507 18 9:10 RankSRGAN: Generative Adversarial Networks Wenlong Zhang, Yihao Liu, Chao Dong, Yu Qiao 539 With Ranker for Image Super-Resolution 19 9:18 Progressive Fusion Video Super-Resolution Network via Exploiting Non-Local Spatio- Temporal Correlations Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Jiayi Ma 733 20 9:23 Deep SR-ITM: Joint Learning of Super- Soo Ye Kim, Jihyong Oh, Munchurl Kim 5601 Resolution and Inverse Tone-Mapping for 4K UHD HDR Applications 21 9:28 Dynamic PET Image Reconstruction Using Nonnegative Matrix Factorization Incorporated With Deep Image Prior Tatsuya Yokota, Kazuya Kawai, Muneyuki Sakata, Yuichi Kimura, Hidekata Hontani 4500 22 23 24 25 9:36 DSIC: Deep Stereo Image Compression Jerry Liu, Shenlong Wang, Raquel Urtasun 9:41 Variable Rate Deep Image Compression With a Yoojin Choi, Mostafa El-Khamy, Jungwon Lee Conditional Autoencoder 9:46 Real Image Denoising With Feature Attention Saeed Anwar, Nick Barnes 9:54 Noise Flow: Noise Modeling With Conditional Normalizing Flows Abdelrahman Abdelhamed, Marcus A. Brubaker, Michael S. Brown 2148 3646 3246 33

26 27 28 9:59 Bottleneck Potentials in Markov Random Fields Ahmed Abbas, Paul Swoboda 3559 10:04 Seeing Motion in the Dark Chen Chen, Qifeng Chen, Minh N. Do, Vladlen Koltun 2553 10:09 SENSE: A Shared Encoder Network for Scene- Flow Estimation Huaizu Jiang, Deqing Sun, Varun Jampani, Zhaoyang Lv, Erik Learned-Miller, Jan Kautz 917 Thursday, October 31, 2019, 0900–1030 Oral 3.1A (Hall D1) Ming-Yu Liu (NVIDIA), Eli Shechtman (Adobe Research) Session Title/Poster Group Generative Modeling & Synthesis 9:00 Image2StyleGAN: How to Embed Images Into Rameen Abdal, Yipeng Qin, Peter Wonka the StyleGAN Latent Space? Author(s) Poste r # Presentatio n Time Title 1 Pape r ID 3080 2 3 4 5 6 7 9:05 Controllable Artistic Text Style Transfer via Shape-Matching GAN Shuai Yang, Zhangyang Wang, Zhaowen Wang, Ning Xu, Jiaying Liu, Zongming Guo 30 9:10 Understanding Generalized Whitening and Tai-Yin Chiu Coloring Transform for Universal Style Transfer 5752 9:18 Learning Implicit Generative Models by Matching Perceptual Features Cicero Nogueira dos Santos, Youssef Mroueh, Inkit Padhi, Pierre Dognin 5968 9:23 Free-Form Image Inpainting With Gated Convolution Jiahui Yu, Zhe Lin, Jimei Yang, Xiaohui Shen, Xin Lu, Thomas S. Huang 905 9:28 FiNet: Compatible and Diverse Fashion Image Inpainting Xintong Han, Zuxuan Wu, Weilin Huang, Matthew R. Scott, Larry S. Davis 1963 9:36 InGAN: Capturing and Retargeting the “DNA” of Assaf Shocher, Shai Bagon, Phillip Isola, Michal Irani 1017 a Natural Image

8 9 9:41 Seeing What a GAN Cannot Generate David Bau, Jun-Yan Zhu, Jonas Wulff, William Peebles, Hendrik Strobelt, Bolei Zhou, Antonio Torralba 5158 9:46 COCO-GAN: Generation by Parts via Conditional Coordinating Chieh Hubert Lin, Chia-Che Chang, Yu-Sheng Chen, Da-Cheng Juan, Wei Wei, Hwann-Tzong Chen 229 10 9:54 Neural Turtle Graphics for Modeling City Road Layouts Hang Chu, Daiqing Li, David Acuna, Amlan Kar, Maria Shugrina, Xinkai Wei, Ming-Yu Liu, Antonio Torralba, Sanja Fidler 1223 11 9:59 Texture Fields: Learning Texture Representations in Function Space Michael Oechsle, Lars Mescheder, Michael Niemeyer, Thilo Strauss, Andreas Geiger 5950 12 10:04 PointFlow: 3D Point Cloud Generation With Continuous Normalizing Flows Guandao Yang, Xun Huang, Zekun Hao, Ming-Yu Liu, Serge Belongie, Bharath Hariharan 59 13 10:12 Meta-Sim: Learning to Generate Synthetic Datasets Amlan Kar, Aayush Prakash, Ming-Yu Liu, Eric Cameracci, Justin Yuan, Matt Rusiniak, David Acuna, Antonio Torralba, Sanja Fidler 3463 14 10:17 Specifying Object Attributes and Relations in Oron Ashual, Lior Wolf 2134 Interactive Scene Generation 15 10:22 SinGAN: Learning a Generative Model From a Tamar Rott Shaham, Tali Dekel, Tomer Michaeli 2245 Single Natural Image Thursday, October 31, 2019, 0900–1030 Oral 3.1B (Hall D2) Gunhee Kim (Seoul National Univ.), Vicente Ordonez (Univ. of Session Title/Poster Group Presentatio n Time Author(s) Poste r # Title Pape r ID

Vision, Language, & Text 16 9:00 VaTeX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research Xin Wang, Jiawei Wu, Junkun Chen, Lei Li, Yuan- Fang Wang, William Yang Wang 1135 17 18 9:05 A Graph-Based Framework to Bridge Movies and Synopses Yu Xiong, Qingqiu Huang, Lingfeng Guo, Hang Zhou, Bolei Zhou, Dahua Lin 385 9:10 From Strings to Things: Knowledge-Enabled VQA Model That Can Read and Reason Ajeet Kumar Singh, Anand Mishra, Shashank Shekhar, Anirban Chakraborty 6036 19 9:18 Counterfactual Critic Multi-Agent Training for Scene Graph Generation Long Chen, Hanwang Zhang, Jun Xiao, Xiangnan He, Shiliang Pu, Shih-Fu Chang 1565 20 21 22 23 24 25 9:23 Robust Change Captioning Dong Huk Park, Trevor Darrell, Anna Rohrbach 5135 9:28 Attention on Attention for Image Captioning Lun Huang, Wenmin Wang, Jie Chen, Xiao-Yong Wei 5657 9:36 Dynamic Graph Attention for Referring Sibei Yang, Guanbin Li, Yizhou Yu Expression Comprehension 9:41 Visual Semantic Reasoning for Image-Text Matching Kunpeng Li, Yulun Zhang, Kai Li, Yuanyuan Li, Yun Fu 9:46 Phrase Localization Without Paired Training Josiah Wang, Lucia Specia Examples 9:54 Learning to Assemble Neural Module Tree Networks for Visual Grounding Daqing Liu, Hanwang Zhang, Feng Wu, Zheng-Jun Zha 26 9:59 A Fast and Accurate One-Stage Approach to Visual Grounding Zhengyuan Yang, Boqing Gong, Liwei Wang, Wenbing Huang, Dong Yu, Jiebo Luo 3058 4211 4024 4090 4151

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